Different Types of Arrays.ipynb

different-types-of-arrays.ipynb

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      "name": "Different Types of Arrays.ipynb",
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
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      "source": [
        "<a href=\"https://colab.research.google.com/gist/HarshCasper/086c817e3e534f1263fa52c22c6977f1/different-types-of-arrays.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "metadata": {
        "id": "r-ckxe_Nc7bp",
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      },
      "source": [
        "# Different Types of Arrays in Numpy"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3T09u6i1dGcR",
        "colab_type": "code",
        "outputId": "cb5432ff-aec8-48da-df93-fd2cc93331fe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "import numpy as np\n",
        "\n",
        "# This Code creates a 2X3 Matrix with Elements being Zero\n",
        "arr=np.zeros((2,3))\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[0. 0. 0.]\n",
            " [0. 0. 0.]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "colab_type": "code",
        "outputId": "4f183e0b-8f3d-433d-cef7-044afe2a9fb6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        }
      },
      "source": [
        "# This Code creates a 3X3 Matrix with Element being One\n",
        "arr=np.ones((3,3))\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[1. 1. 1.]\n",
            " [1. 1. 1.]\n",
            " [1. 1. 1.]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q-FmLURidgoT",
        "colab_type": "code",
        "outputId": "edb0e3d4-80ab-4b69-e3b7-a1888a0e74b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        }
      },
      "source": [
        "# This Code creates a 5X5 Matrix with an Element chosen by the User\n",
        "arr=np.full((5,5),67)\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[67 67 67 67 67]\n",
            " [67 67 67 67 67]\n",
            " [67 67 67 67 67]\n",
            " [67 67 67 67 67]\n",
            " [67 67 67 67 67]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "83FtU4treCyj",
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        "outputId": "278e305c-c56f-4df9-a9ef-1b3e343a8b56",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 84
        }
      },
      "source": [
        "# This Code will create a 4X3 Matrix with a Random Element\n",
        "arr=np.random.rand(4,3)\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[0.8706085  0.66905906 0.18073705]\n",
            " [0.90856186 0.7654724  0.90236333]\n",
            " [0.49745524 0.54378354 0.16426315]\n",
            " [0.75826984 0.58330864 0.42502968]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QP6KnZGgeW9G",
        "colab_type": "code",
        "outputId": "40de55ae-fe01-4003-dc8e-6bdcec95a003",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        }
      },
      "source": [
        "# This Code will generate a 5X5 Matrix in a specified range\n",
        "arr=np.random.randint(5,13,size=(5,5))\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[ 6 12  8  6 10]\n",
            " [11  7  8 11  8]\n",
            " [11  5 11  7  7]\n",
            " [10  8 12  6  7]\n",
            " [ 6 11  5  5 10]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 101
        }
      },
      "source": [
        "# This Code Cell will generate an Identity Matrix\n",
        "arr=np.identity(5)\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[1. 0. 0. 0. 0.]\n",
            " [0. 1. 0. 0. 0.]\n",
            " [0. 0. 1. 0. 0.]\n",
            " [0. 0. 0. 1. 0.]\n",
            " [0. 0. 0. 0. 1.]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NBtJ9nf7iHl5",
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        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 185
        }
      },
      "source": [
        "# One Thing that you need to be careful is to use copy() function to Copy an Array\n",
        "arr1=arr.copy()\n",
        "arr1[0]=-100\n",
        "print(arr1)\n",
        "print(arr)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[-100. -100. -100. -100. -100.]\n",
            " [   0.    1.    0.    0.    0.]\n",
            " [   0.    0.    1.    0.    0.]\n",
            " [   0.    0.    0.    1.    0.]\n",
            " [   0.    0.    0.    0.    1.]]\n",
            "[[1. 0. 0. 0. 0.]\n",
            " [0. 1. 0. 0. 0.]\n",
            " [0. 0. 1. 0. 0.]\n",
            " [0. 0. 0. 1. 0.]\n",
            " [0. 0. 0. 0. 1.]]\n"
          ],
          "name": "stdout"
        }
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}